The eg_tn function is a specialized utility within the mock-jutsu library designed to generate realistic Egyptian Tax Registration Numbers for software testing and development environments. As digital transformation accelerates across the Middle East, developers building financial, ERP, or e-commerce platforms for the Egyptian market require high-quality mock data that adheres to local regulatory formats. This function produces a nine-digit numerical string, which is the standard format used by the Egyptian Tax Authority, ensuring that your application’s validation logic and database schemas are thoroughly vetted before reaching a production environment.
When integrating test data into your workflow, structural accuracy is paramount. The eg_tn generator in mock-jutsu focuses on providing the precise length and numerical composition expected by Egyptian compliance systems. By using this tool, developers can simulate various business entities and taxpayer profiles without the legal and ethical risks associated with using real taxpayer information. This is particularly critical for systems that handle Value Added Tax (VAT) reporting or corporate income tax filings, where the tax registration number serves as a primary key for entity identification and reporting.
Flexibility is a core advantage of the mock-jutsu ecosystem, and the eg_tn function is accessible across multiple interfaces to suit different development styles. Whether you are performing quick data generation via the CLI, embedding logic within a Python script using jutsu.generate('eg_tn'), or conducting performance testing in Apache JMeter with the ${__mockjutsu(eg_tn,)} syntax, the library ensures consistent output. This versatility allows QA engineers to seed databases with thousands of unique records or validate front-end input masks with ease, significantly reducing the manual overhead typically associated with localized data creation.
Ultimately, leveraging mock-jutsu for generating an eg_tn empowers development teams to focus on core functionality rather than data procurement. It streamlines the testing of edge cases, such as handling large batches of tax IDs or ensuring that UI components correctly display nine-digit strings without truncation. By incorporating these realistic identifiers into your CI/CD pipelines, you can build more robust, market-ready applications that are prepared for the specific data requirements of the Egyptian digital economy, all while maintaining strict data privacy standards and avoiding the use of sensitive production information.
mockjutsu generate eg_tnmockjutsu bulk eg_tn --count 10mockjutsu export eg_tn --count 10 --format jsonmockjutsu export eg_tn --count 10 --format csvmockjutsu export eg_tn --count 10 --format sql# --mask: regulation-compliant output (PCI DSS / GDPR / KVKK)mockjutsu generate eg_tn --maskmockjutsu bulk eg_tn --count 5 --maskfrom mockjutsu import jutsujutsu.generate('eg_tn')jutsu.bulk('eg_tn', count=10)jutsu.template(['eg_tn'], count=5)# mask=True: regulation-compliant outputjutsu.generate('eg_tn', mask=True)jutsu.bulk('eg_tn', count=5, mask=True)${__mockjutsu_intl_ids(eg_tn)}# JMeter Function: __mockjutsu_intl_ids# Parameter 1: eg_tn# Parameter 2: (not required for this function)# Add 'mask' keyword to get a regulation-compliant masked value${__mockjutsu_intl_ids(eg_tn,mask)}GET /generate/eg_tn# → {"type":"eg_tn","result":"...","status":"ok"}GET /bulk/eg_tn?count=10POST /template {"types":["eg_tn"],"count":1}# mask=true: regulation-compliant outputGET /generate/eg_tn?mask=trueGET /bulk/eg_tn?count=5&mask=true| Parameter | Values | Description |
|---|---|---|
| --mask | true | false | Return a regulation-compliant masked value (PCI DSS, GDPR, KVKK…) |